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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_histogram.wasp
Title produced by softwareHistogram
Date of computationSat, 22 Dec 2012 08:26:57 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Dec/22/t1356182829lij44lu9zmj4tu5.htm/, Retrieved Fri, 29 Mar 2024 04:52:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=204508, Retrieved Fri, 29 Mar 2024 04:52:45 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Histogram] [] [2012-12-22 13:26:57] [0b7e70096319a28f23e2583f3bf72e62] [Current]
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Dataseries X:
39.28
39.36
39.55
39.64
39.8
39.79
39.79
39.86
39.91
40
40.01
40.01
40.01
39.96
40
39.76
39.68
39.7
39.7
39.73
39.64
39.56
39.67
39.66
39.66
40.05
39.99
40.06
40.08
40.1
40.1
40.12
40.07
40.24
40.58
40.72
40.72
40.89
40.9
41.04
41.27
41.29
41.29
41.33
41.34
41.37
41.33
41.37
41.37
41.42
41.61
41.58
41.75
41.75
41.75
41.85
41.84
41.97
42.01
42.04
42.04
42.06
41.93
41.93
41.99
42.03
42.03
42.12
42.22
42.21
42.23
42.22




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204508&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204508&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204508&T=0

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[39.2,39.3[39.2510.0138890.0138890.138889
[39.3,39.4[39.3510.0138890.0277780.138889
[39.4,39.5[39.45000.0277780
[39.5,39.6[39.5520.0277780.0555560.277778
[39.6,39.7[39.6560.0833330.1388890.833333
[39.7,39.8[39.7560.0833330.2222220.833333
[39.8,39.9[39.8520.0277780.250.277778
[39.9,40[39.9530.0416670.2916670.416667
[40,40.1[40.0590.1250.4166671.25
[40.1,40.2[40.1530.0416670.4583330.416667
[40.2,40.3[40.2510.0138890.4722220.138889
[40.3,40.4[40.35000.4722220
[40.4,40.5[40.45000.4722220
[40.5,40.6[40.5510.0138890.4861110.138889
[40.6,40.7[40.65000.4861110
[40.7,40.8[40.7520.0277780.5138890.277778
[40.8,40.9[40.8510.0138890.5277780.138889
[40.9,41[40.9510.0138890.5416670.138889
[41,41.1[41.0510.0138890.5555560.138889
[41.1,41.2[41.15000.5555560
[41.2,41.3[41.2530.0416670.5972220.416667
[41.3,41.4[41.3560.0833330.6805560.833333
[41.4,41.5[41.4510.0138890.6944440.138889
[41.5,41.6[41.5510.0138890.7083330.138889
[41.6,41.7[41.6510.0138890.7222220.138889
[41.7,41.8[41.7530.0416670.7638890.416667
[41.8,41.9[41.8520.0277780.7916670.277778
[41.9,42[41.9540.0555560.8472220.555556
[42,42.1[42.0560.0833330.9305560.833333
[42.1,42.2[42.1510.0138890.9444440.138889
[42.2,42.3]42.2540.05555610.555556

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[39.2,39.3[ & 39.25 & 1 & 0.013889 & 0.013889 & 0.138889 \tabularnewline
[39.3,39.4[ & 39.35 & 1 & 0.013889 & 0.027778 & 0.138889 \tabularnewline
[39.4,39.5[ & 39.45 & 0 & 0 & 0.027778 & 0 \tabularnewline
[39.5,39.6[ & 39.55 & 2 & 0.027778 & 0.055556 & 0.277778 \tabularnewline
[39.6,39.7[ & 39.65 & 6 & 0.083333 & 0.138889 & 0.833333 \tabularnewline
[39.7,39.8[ & 39.75 & 6 & 0.083333 & 0.222222 & 0.833333 \tabularnewline
[39.8,39.9[ & 39.85 & 2 & 0.027778 & 0.25 & 0.277778 \tabularnewline
[39.9,40[ & 39.95 & 3 & 0.041667 & 0.291667 & 0.416667 \tabularnewline
[40,40.1[ & 40.05 & 9 & 0.125 & 0.416667 & 1.25 \tabularnewline
[40.1,40.2[ & 40.15 & 3 & 0.041667 & 0.458333 & 0.416667 \tabularnewline
[40.2,40.3[ & 40.25 & 1 & 0.013889 & 0.472222 & 0.138889 \tabularnewline
[40.3,40.4[ & 40.35 & 0 & 0 & 0.472222 & 0 \tabularnewline
[40.4,40.5[ & 40.45 & 0 & 0 & 0.472222 & 0 \tabularnewline
[40.5,40.6[ & 40.55 & 1 & 0.013889 & 0.486111 & 0.138889 \tabularnewline
[40.6,40.7[ & 40.65 & 0 & 0 & 0.486111 & 0 \tabularnewline
[40.7,40.8[ & 40.75 & 2 & 0.027778 & 0.513889 & 0.277778 \tabularnewline
[40.8,40.9[ & 40.85 & 1 & 0.013889 & 0.527778 & 0.138889 \tabularnewline
[40.9,41[ & 40.95 & 1 & 0.013889 & 0.541667 & 0.138889 \tabularnewline
[41,41.1[ & 41.05 & 1 & 0.013889 & 0.555556 & 0.138889 \tabularnewline
[41.1,41.2[ & 41.15 & 0 & 0 & 0.555556 & 0 \tabularnewline
[41.2,41.3[ & 41.25 & 3 & 0.041667 & 0.597222 & 0.416667 \tabularnewline
[41.3,41.4[ & 41.35 & 6 & 0.083333 & 0.680556 & 0.833333 \tabularnewline
[41.4,41.5[ & 41.45 & 1 & 0.013889 & 0.694444 & 0.138889 \tabularnewline
[41.5,41.6[ & 41.55 & 1 & 0.013889 & 0.708333 & 0.138889 \tabularnewline
[41.6,41.7[ & 41.65 & 1 & 0.013889 & 0.722222 & 0.138889 \tabularnewline
[41.7,41.8[ & 41.75 & 3 & 0.041667 & 0.763889 & 0.416667 \tabularnewline
[41.8,41.9[ & 41.85 & 2 & 0.027778 & 0.791667 & 0.277778 \tabularnewline
[41.9,42[ & 41.95 & 4 & 0.055556 & 0.847222 & 0.555556 \tabularnewline
[42,42.1[ & 42.05 & 6 & 0.083333 & 0.930556 & 0.833333 \tabularnewline
[42.1,42.2[ & 42.15 & 1 & 0.013889 & 0.944444 & 0.138889 \tabularnewline
[42.2,42.3] & 42.25 & 4 & 0.055556 & 1 & 0.555556 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=204508&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][39.2,39.3[[/C][C]39.25[/C][C]1[/C][C]0.013889[/C][C]0.013889[/C][C]0.138889[/C][/ROW]
[ROW][C][39.3,39.4[[/C][C]39.35[/C][C]1[/C][C]0.013889[/C][C]0.027778[/C][C]0.138889[/C][/ROW]
[ROW][C][39.4,39.5[[/C][C]39.45[/C][C]0[/C][C]0[/C][C]0.027778[/C][C]0[/C][/ROW]
[ROW][C][39.5,39.6[[/C][C]39.55[/C][C]2[/C][C]0.027778[/C][C]0.055556[/C][C]0.277778[/C][/ROW]
[ROW][C][39.6,39.7[[/C][C]39.65[/C][C]6[/C][C]0.083333[/C][C]0.138889[/C][C]0.833333[/C][/ROW]
[ROW][C][39.7,39.8[[/C][C]39.75[/C][C]6[/C][C]0.083333[/C][C]0.222222[/C][C]0.833333[/C][/ROW]
[ROW][C][39.8,39.9[[/C][C]39.85[/C][C]2[/C][C]0.027778[/C][C]0.25[/C][C]0.277778[/C][/ROW]
[ROW][C][39.9,40[[/C][C]39.95[/C][C]3[/C][C]0.041667[/C][C]0.291667[/C][C]0.416667[/C][/ROW]
[ROW][C][40,40.1[[/C][C]40.05[/C][C]9[/C][C]0.125[/C][C]0.416667[/C][C]1.25[/C][/ROW]
[ROW][C][40.1,40.2[[/C][C]40.15[/C][C]3[/C][C]0.041667[/C][C]0.458333[/C][C]0.416667[/C][/ROW]
[ROW][C][40.2,40.3[[/C][C]40.25[/C][C]1[/C][C]0.013889[/C][C]0.472222[/C][C]0.138889[/C][/ROW]
[ROW][C][40.3,40.4[[/C][C]40.35[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][40.4,40.5[[/C][C]40.45[/C][C]0[/C][C]0[/C][C]0.472222[/C][C]0[/C][/ROW]
[ROW][C][40.5,40.6[[/C][C]40.55[/C][C]1[/C][C]0.013889[/C][C]0.486111[/C][C]0.138889[/C][/ROW]
[ROW][C][40.6,40.7[[/C][C]40.65[/C][C]0[/C][C]0[/C][C]0.486111[/C][C]0[/C][/ROW]
[ROW][C][40.7,40.8[[/C][C]40.75[/C][C]2[/C][C]0.027778[/C][C]0.513889[/C][C]0.277778[/C][/ROW]
[ROW][C][40.8,40.9[[/C][C]40.85[/C][C]1[/C][C]0.013889[/C][C]0.527778[/C][C]0.138889[/C][/ROW]
[ROW][C][40.9,41[[/C][C]40.95[/C][C]1[/C][C]0.013889[/C][C]0.541667[/C][C]0.138889[/C][/ROW]
[ROW][C][41,41.1[[/C][C]41.05[/C][C]1[/C][C]0.013889[/C][C]0.555556[/C][C]0.138889[/C][/ROW]
[ROW][C][41.1,41.2[[/C][C]41.15[/C][C]0[/C][C]0[/C][C]0.555556[/C][C]0[/C][/ROW]
[ROW][C][41.2,41.3[[/C][C]41.25[/C][C]3[/C][C]0.041667[/C][C]0.597222[/C][C]0.416667[/C][/ROW]
[ROW][C][41.3,41.4[[/C][C]41.35[/C][C]6[/C][C]0.083333[/C][C]0.680556[/C][C]0.833333[/C][/ROW]
[ROW][C][41.4,41.5[[/C][C]41.45[/C][C]1[/C][C]0.013889[/C][C]0.694444[/C][C]0.138889[/C][/ROW]
[ROW][C][41.5,41.6[[/C][C]41.55[/C][C]1[/C][C]0.013889[/C][C]0.708333[/C][C]0.138889[/C][/ROW]
[ROW][C][41.6,41.7[[/C][C]41.65[/C][C]1[/C][C]0.013889[/C][C]0.722222[/C][C]0.138889[/C][/ROW]
[ROW][C][41.7,41.8[[/C][C]41.75[/C][C]3[/C][C]0.041667[/C][C]0.763889[/C][C]0.416667[/C][/ROW]
[ROW][C][41.8,41.9[[/C][C]41.85[/C][C]2[/C][C]0.027778[/C][C]0.791667[/C][C]0.277778[/C][/ROW]
[ROW][C][41.9,42[[/C][C]41.95[/C][C]4[/C][C]0.055556[/C][C]0.847222[/C][C]0.555556[/C][/ROW]
[ROW][C][42,42.1[[/C][C]42.05[/C][C]6[/C][C]0.083333[/C][C]0.930556[/C][C]0.833333[/C][/ROW]
[ROW][C][42.1,42.2[[/C][C]42.15[/C][C]1[/C][C]0.013889[/C][C]0.944444[/C][C]0.138889[/C][/ROW]
[ROW][C][42.2,42.3][/C][C]42.25[/C][C]4[/C][C]0.055556[/C][C]1[/C][C]0.555556[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=204508&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=204508&T=1

As an alternative you can also use a QR Code:  

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
BinsMidpointAbs. FrequencyRel. FrequencyCumul. Rel. Freq.Density
[39.2,39.3[39.2510.0138890.0138890.138889
[39.3,39.4[39.3510.0138890.0277780.138889
[39.4,39.5[39.45000.0277780
[39.5,39.6[39.5520.0277780.0555560.277778
[39.6,39.7[39.6560.0833330.1388890.833333
[39.7,39.8[39.7560.0833330.2222220.833333
[39.8,39.9[39.8520.0277780.250.277778
[39.9,40[39.9530.0416670.2916670.416667
[40,40.1[40.0590.1250.4166671.25
[40.1,40.2[40.1530.0416670.4583330.416667
[40.2,40.3[40.2510.0138890.4722220.138889
[40.3,40.4[40.35000.4722220
[40.4,40.5[40.45000.4722220
[40.5,40.6[40.5510.0138890.4861110.138889
[40.6,40.7[40.65000.4861110
[40.7,40.8[40.7520.0277780.5138890.277778
[40.8,40.9[40.8510.0138890.5277780.138889
[40.9,41[40.9510.0138890.5416670.138889
[41,41.1[41.0510.0138890.5555560.138889
[41.1,41.2[41.15000.5555560
[41.2,41.3[41.2530.0416670.5972220.416667
[41.3,41.4[41.3560.0833330.6805560.833333
[41.4,41.5[41.4510.0138890.6944440.138889
[41.5,41.6[41.5510.0138890.7083330.138889
[41.6,41.7[41.6510.0138890.7222220.138889
[41.7,41.8[41.7530.0416670.7638890.416667
[41.8,41.9[41.8520.0277780.7916670.277778
[41.9,42[41.9540.0555560.8472220.555556
[42,42.1[42.0560.0833330.9305560.833333
[42.1,42.2[42.1510.0138890.9444440.138889
[42.2,42.3]42.2540.05555610.555556



Parameters (Session):
par1 = 27 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
Parameters (R input):
par1 = 27 ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;
R code (references can be found in the software module):
par4 <- 'Unknown'
par3 <- 'FALSE'
par2 <- 'grey'
par1 <- '12'
par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if(is.numeric(x[1])) {
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
} else {
plot(mytab <- table(x),col=par2,main='Frequency Plot',xlab=xlab,ylab='Absolute Frequency')
}
dev.off()
if(is.numeric(x[1])) {
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
} else {
mytab
reltab <- mytab / sum(mytab)
n <- length(mytab)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Frequency Table (Categorical Data)',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Category',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,labels(mytab)$x[i],header=TRUE)
a<-table.element(a,mytab[i])
a<-table.element(a,round(reltab[i],4))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
}